Room: Poster Area
Date: Thursday, 21 May 2026
Time: 11:30 - 12:45 CEST
Session code 3CV.4
Processes and concepts
Multi-period Optimization of Sustainable Aviation Fuel Supply Chain from Macaúba Oil at the Regional Level
Short Introductive summary
The study evaluates macaúba as a feedstock for Sustainable Aviation Fuel (SAF), considering cultivation, HEFA oil conversion, emissions mitigation, and the use of optimization models for logistics and financial planning. With aviation responsible for 3% of global CO2 emissions, macaúba is a promising biomass due to its high oil productivity, adaptability, and carbon sequestration potential. A Mixed-Integer Linear Programming (MILP) model was applied to optimize SAF production, integrating processing flows, costs, revenues, emissions balance, and transport logistics. 17.6 million hectares of degraded land were identified as suitable for cultivation, of which 11 million hectares could meet projected demand, with a carbon sequestration potential of -0.3063 tCO2 per t of fruit. At a SAF price of USD 700/t, the model achieves an IRR of 10%, a minimum selling price of USD 354/t, and meets the projected demand of 8.2 billion liters by 2037. The main production hubs are in Minas Gerais, Bahia, Rio Grande do Norte, and Mato Grosso do Sul, with a total investment of 21 billion USD and a NPV of 24 billion USD.
Presenter
Adriano ENSINAS
Federal University of Lavras, Engineering Dpt., BRAZIL
Presenter's biography
Associate Professor at UFLA with degrees from UNICAMP. He has conducted research in Spain and Switzerland (EPFL), taught at UFABC, and collaborates internationally. CNPq researcher since 2016, with numerous publications in high-impact journals.
Biographies and Short introductive summaries are supplied directly by presenters and are published here unedited
Co-authors:
T.M. Ribeiro, Federal University of Lavras, BRAZIL
H. Khalid, Federal University of Lavras, BRAZIL
V.F. Garcia, Federal University of ABC, Santo André, BRAZIL
J.E. Infante-Cuan, Federal University of ABC, Santo André, BRAZIL
T.A. Soares, Federal University of Lavras, BRAZIL
Session reference: 3CV.4.2